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2020 – today
- 2023
[j3]Davide Conficconi
, Emanuele Del Sozzo, Filippo Carloni, Alessandro Comodi, Alberto Scolari, Marco Domenico Santambrogio:
An Energy-Efficient Domain-Specific Architecture for Regular Expressions. IEEE Trans. Emerg. Top. Comput. 11(1): 3-17 (2023)- [c12]Alberto Scolari, Albert-Jan Yzelman:
Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS. IPDPS Workshops 2023: 216-225 - [i2]Alberto Scolari, Albert-Jan Yzelman:
Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS. CoRR abs/2304.08232 (2023) - 2022
- [c11]Francesco Peverelli, Davide Conficconi, Davide Basilio Bartolini, Alberto Scolari, Marco Domenico Santambrogio:
Characterizing Molecular Dynamics Simulation on Commodity Platforms. IISWC 2022: 65-78
2010 – 2019
- 2019
- [b1]Alberto Scolari:
Optimizing data-intensive applications for modern hardware platforms. Polytechnic University of Milan, Italy, 2019 - [c10]Anna Maria Nestorov, Alberto Scolari, Enrico Reggiani, Luca Stornaiuolo, Marco D. Santambrogio:
A Case Study for an Accelerated DCNN on FPGA-Based Embedded Distributed System. IPDPS Workshops 2019: 91-94 - [c9]Enrico Reggiani, Marco Rabozzi, Anna Maria Nestorov, Alberto Scolari, Luca Stornaiuolo, Marco D. Santambrogio:
Pareto Optimal Design Space Exploration for Accelerated CNN on FPGA. IPDPS Workshops 2019: 107-114 - 2018
- [j2]Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Markus Weimer, Matteo Interlandi:
From the Edge to the Cloud: Model Serving in ML.NET. IEEE Data Eng. Bull. 41(4): 46-53 (2018) - [c8]Alessandro Comodi, Davide Conficconi, Alberto Scolari, Marco D. Santambrogio:
TiReX: Tiled Regular eXpression Matching Architecture. IPDPS Workshops 2018: 131-137 - [c7]Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Marco Domenico Santambrogio, Markus Weimer, Matteo Interlandi:
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. OSDI 2018: 611-626 - [i1]Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Marco Domenico Santambrogio, Markus Weimer, Matteo Interlandi:
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. CoRR abs/1810.06115 (2018) - 2017
- [c6]Marco Rabozzi, Giuseppe Natale, Emanuele Del Sozzo, Alberto Scolari, Luca Stornaiuolo, Marco D. Santambrogio:
Heterogeneous exascale supercomputing: The role of CAD in the exaFPGA project. DATE 2017: 410-415 - [c5]Alberto Scolari, Yunseong Lee, Markus Weimer, Matteo Interlandi:
Towards Accelerating Generic Machine Learning Prediction Pipelines. ICCD 2017: 431-434 - [c4]Lorenzo Di Tucci, Giulia Guidi, Sara Notargiacomo, Luca Cerina, Alberto Scolari, Marco D. Santambrogio:
HUGenomics: A support to personalized medicine research. RTSI 2017: 1-5 - 2016
- [j1]Alberto Scolari, Davide Basilio Bartolini, Marco Domenico Santambrogio:
A Software Cache Partitioning System for Hash-Based Caches. ACM Trans. Archit. Code Optim. 13(4): 57:1-57:24 (2016) - 2014
- [c3]Fabrizio Spada, Alberto Scolari, Gianluca C. Durelli, Riccardo Cattaneo, Marco D. Santambrogio, Donatella Sciuto, Dionisios N. Pnevmatikatos, Georgi Gaydadjiev, Oliver Pell, Andreas Brokalakis, Wayne Luk, Dirk Stroobandt, Danilo Pau:
FPGA-Based Design Using the FASTER Toolchain: The Case of STM Spear Development Board. ISPA 2014: 134-141 - [c2]Alberto Scolari, Filippo Sironi, Donatella Sciuto, Marco Domenico Santambrogio:
A Survey on Recent Hardware and Software-Level Cache Management Techniques. ISPA 2014: 242-247 - 2013
- [c1]Alberto Scolari, Filippo Sironi, Davide B. Bartolini, Donatella Sciuto, Marco D. Santambrogio:
Coloring the cloud for predictable performance. SoCC 2013: 47:1-47:2
Coauthor Index
aka: Marco Domenico Santambrogio
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